Check results for 'censReg'

using R version 3.0.0 Patched (2013-04-03 r62485)
using platform: sparc-sun-solaris2.10 (32-bit)
using session charset: UTF-8
checking for file ‘censReg/DESCRIPTION’ ... OK
this is package ‘censReg’ version ‘0.5-16’
checking package namespace information ... OK
checking package dependencies ... OK
checking if this is a source package ... OK
checking if there is a namespace ... OK
checking for .dll and .exe files ... OK
checking for hidden files and directories ... OK
checking for portable file names ... OK
checking for sufficient/correct file permissions ... OK
checking whether package ‘censReg’ can be installed ... OK
checking installed package size ... OK
checking package directory ... OK
checking DESCRIPTION meta-information ... OK
checking top-level files ... OK
checking for left-over files ... OK
checking index information ... OK
checking package subdirectories ... OK
checking R files for non-ASCII characters ... OK
checking R files for syntax errors ... OK
checking whether the package can be loaded ... OK
checking whether the package can be loaded with stated dependencies ... OK
checking whether the package can be unloaded cleanly ... OK
checking whether the namespace can be loaded with stated dependencies ... OK
checking whether the namespace can be unloaded cleanly ... OK
checking loading without being on the library search path ... OK
checking for unstated dependencies in R code ... OK
checking S3 generic/method consistency ... OK
checking replacement functions ... OK
checking foreign function calls ... OK
checking R code for possible problems ... NOTE
censReg: no visible binding for global variable ‘validObs2’
checking Rd files ... OK
checking Rd metadata ... OK
checking Rd cross-references ... OK
checking for missing documentation entries ... OK
checking for code/documentation mismatches ... OK
checking Rd \usage sections ... OK
checking Rd contents ... OK
checking for unstated dependencies in examples ... OK
checking installed files from ‘inst/doc’ ... OK
checking examples ... [42s/42s] OK
checking for unstated dependencies in tests ... OK
checking tests ... [13m/13m] OK
Running ‘censRegPanelLargerTest.R’ [39s/39s]
Comparing ‘censRegPanelLargerTest.Rout’ to ‘censRegPanelLargerTest.Rout.save’ ...8c8
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
15c15
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
Running ‘censRegPanelTest.R’ [521s/521s]
Comparing ‘censRegPanelTest.Rout’ to ‘censRegPanelTest.Rout.save’ ...8c8
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
15c15
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
127c127
< (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.023824162 -0.002973952
---
> (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.023824162 -0.002973952
134c134
< (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.020929366 -0.002937279
---
> (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.020929366 -0.002937279
136,137c136,137
< x2 -0.254602886 0.008562225 0.454125881 0.015092112 0.001486874
< sigmaMu -0.020929366 0.011775394 0.015092112 0.051398826 -0.002289643
---
> x2 -0.254602886 0.008562225 0.454125881 0.015092113 0.001486874
> sigmaMu -0.020929366 0.011775394 0.015092113 0.051398826 -0.002289643
172c172
< 1.712452e-11 4.534906e-11 1.345601e-11 8.222312e-12 6.206347e-11
---
> 1.711386e-11 4.533762e-11 1.344722e-11 8.216400e-12 6.207498e-11
606c606
< -0.37287 1.68060 2.25129 -0.12869 -0.01252
---
> -0.36750 1.67993 2.24379 -0.12947 -0.01241
611c611
< BFGSR maximization, 63 iterations
---
> BFGSR maximization, 78 iterations
613c613
< Log-Likelihood: -73.19896
---
> Log-Likelihood: -73.19883
617,621c617,621
< (Intercept) -0.372871 0.475269 -0.7845 0.4327186
< x1 1.680600 0.209296 8.0298 9.765e-16 ***
< x2 2.251293 0.674214 3.3391 0.0008404 ***
< logSigmaMu -0.128691 0.257865 -0.4991 0.6177332
< logSigmaNu -0.012518 0.129689 -0.0965 0.9231058
---
> (Intercept) -0.367502 0.474613 -0.7743 0.4387426
> x1 1.679929 0.209229 8.0291 9.816e-16 ***
> x2 2.243794 0.673969 3.3292 0.0008709 ***
> logSigmaMu -0.129473 0.258047 -0.5017 0.6158482
> logSigmaNu -0.012409 0.129690 -0.0957 0.9237740
636,640c636,640
< (Intercept) -0.37287 0.47527 -0.785 0.43272
< x1 1.68060 0.20930 8.030 9.77e-16 ***
< x2 2.25129 0.67421 3.339 0.00084 ***
< logSigmaMu -0.12869 0.25786 -0.499 0.61773
< logSigmaNu -0.01252 0.12969 -0.097 0.92311
---
> (Intercept) -0.36750 0.47461 -0.774 0.438743
> x1 1.67993 0.20923 8.029 9.82e-16 ***
> x2 2.24379 0.67397 3.329 0.000871 ***
> logSigmaMu -0.12947 0.25805 -0.502 0.615848
> logSigmaNu -0.01241 0.12969 -0.096 0.923774
644c644
< BFGSR maximization, 63 iterations
---
> BFGSR maximization, 78 iterations
646c646
< Log-likelihood: -73.19896 on 5 Df
---
> Log-likelihood: -73.19883 on 5 Df
650c650
< [1] -73.19896
---
> [1] -73.19883
654c654
< -0.37287105 1.68059961 2.25129294 -0.12869139 -0.01251788
---
> -0.36750163 1.67992931 2.24379444 -0.12947348 -0.01240886
658c658
< 0.013843626 -0.003912967 -0.015760023 -0.002550123 0.010852543
---
> 0.0014212306 0.0034992596 -0.0064419525 0.0003782988 0.0003341343
662,666c662,666
< (Intercept) -13.295677 -4.094709 -7.2975520 -2.1548331 -1.275694
< x1 -4.094709 -26.068568 -1.9875805 4.4798136 4.768439
< x2 -7.297552 -1.987581 -6.2320568 -0.6418211 -0.426874
< logSigmaMu -2.154833 4.479814 -0.6418211 -16.7058539 -3.713350
< logSigmaNu -1.275694 4.768439 -0.4268740 -3.7133500 -61.064639
---
> (Intercept) -13.317517 -4.096146 -7.3057987 -2.1155739 -1.300861
> x1 -4.096146 -26.075639 -1.9898094 4.4840349 4.755412
> x2 -7.305799 -1.989809 -6.2353998 -0.6259168 -0.464233
> logSigmaMu -2.115574 4.484035 -0.6259168 -16.6651955 -3.721179
> logSigmaNu -1.300861 4.755412 -0.4642330 -3.7211788 -61.065093
682c682
< [1] 63
---
> [1] 78
689,703c689,703
< [1,] -0.85146307 0.22288304 -0.07389451 -0.1449129 -0.9713035
< [2,] -1.70212541 0.04588401 -1.19074257 1.6822490 -1.0124592
< [3,] 1.74918562 0.33170962 1.72360069 1.8356154 1.7911078
< [4,] 0.15511448 -0.20387484 -0.43472211 -0.6888279 -1.4235184
< [5,] 0.13021848 0.98201674 0.68654040 -0.6768949 -0.5651859
< [6,] 0.32967661 -0.30524995 0.38334701 -0.4916547 -1.5830209
< [7,] -0.07836613 -3.18809730 -0.23661612 -0.6778129 6.0394463
< [8,] -0.26449710 0.37705408 0.05596852 -0.5396389 -1.1077717
< [9,] 1.14903967 0.59325669 0.30320930 0.1357287 -1.6141758
< [10,] -0.43244598 -0.40433360 -0.15156322 -0.4705092 -1.9366100
< [11,] -0.02721932 1.45188619 -0.64507449 -0.9196190 2.7477874
< [12,] 1.20916638 0.53909669 0.60971215 0.2039154 -1.7319516
< [13,] 0.53742938 -0.22581919 0.33147923 -0.3672730 -1.4081977
< [14,] -1.81376743 -1.30867461 -0.91977505 1.9591596 2.5752858
< [15,] -0.07610257 1.08834948 -0.45722925 -0.8420749 0.2114200
---
> [1,] -0.85278081 0.2247850 -0.07302970 -0.1442070 -0.9634923
> [2,] -1.70342425 0.0476419 -1.19055345 1.6820162 -1.0127268
> [3,] 1.75059965 0.3340379 1.72645582 1.8351650 1.8000202
> [4,] 0.15552297 -0.2026892 -0.43296702 -0.6893599 -1.4315786
> [5,] 0.12953233 0.9838683 0.68846571 -0.6770129 -0.5576955
> [6,] 0.33020957 -0.3070305 0.38415893 -0.4921914 -1.5806796
> [7,] -0.08124385 -3.1854369 -0.23706941 -0.6768114 6.0284476
> [8,] -0.26650783 0.3785437 0.05560267 -0.5386742 -1.1090288
> [9,] 1.14849813 0.5942606 0.30325840 0.1336487 -1.6163416
> [10,] -0.43466534 -0.4056715 -0.15242875 -0.4690608 -1.9368240
> [11,] -0.02815366 1.4492071 -0.64446998 -0.9176305 2.7387662
> [12,] 1.21036511 0.5376472 0.61231215 0.2052291 -1.7342086
> [13,] 0.53592238 -0.2250517 0.33100094 -0.3690601 -1.4085335
> [14,] -1.81473915 -1.3068211 -0.91982779 1.9580283 2.5799493
> [15,] -0.07771403 1.0862084 -0.45735047 -0.8397008 0.2042601
808c808
< 4.63098 1.68040 2.24537 -0.12888 -0.01241
---
> 4.62970 1.67974 2.24826 -0.12967 -0.01247
813c813
< BFGSR maximization, 78 iterations
---
> BFGSR maximization, 75 iterations
815c815
< Log-Likelihood: -73.19885
---
> Log-Likelihood: -73.19889
819,823c819,823
< (Intercept) 4.630979 0.474918 9.7511 < 2.2e-16 ***
< x1 1.680401 0.209274 8.0297 9.774e-16 ***
< x2 2.245372 0.674094 3.3309 0.0008655 ***
< logSigmaMu -0.128884 0.257923 -0.4997 0.6172879
< logSigmaNu -0.012407 0.129694 -0.0957 0.9237893
---
> (Intercept) 4.629702 0.474777 9.7513 < 2.2e-16 ***
> x1 1.679738 0.209226 8.0284 9.878e-16 ***
> x2 2.248262 0.674033 3.3355 0.0008513 ***
> logSigmaMu -0.129673 0.258097 -0.5024 0.6153734
> logSigmaNu -0.012466 0.129691 -0.0961 0.9234264
838,842c838,842
< (Intercept) 4.63098 0.47492 9.751 < 2e-16 ***
< x1 1.68040 0.20927 8.030 9.77e-16 ***
< x2 2.24537 0.67409 3.331 0.000866 ***
< logSigmaMu -0.12888 0.25792 -0.500 0.617288
< logSigmaNu -0.01241 0.12969 -0.096 0.923789
---
> (Intercept) 4.62970 0.47478 9.751 < 2e-16 ***
> x1 1.67974 0.20923 8.028 9.88e-16 ***
> x2 2.24826 0.67403 3.336 0.000851 ***
> logSigmaMu -0.12967 0.25810 -0.502 0.615373
> logSigmaNu -0.01247 0.12969 -0.096 0.923426
846c846
< BFGSR maximization, 78 iterations
---
> BFGSR maximization, 75 iterations
848c848
< Log-likelihood: -73.19885 on 5 Df
---
> Log-likelihood: -73.19889 on 5 Df
852c852
< 4.63097856 1.68040051 2.24537217 -0.12888373 -0.01240673
---
> 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
855c855
< 4.6309786 1.6804005 2.2453722 0.8790762 0.9876699
---
> 4.6297016 1.6797384 2.2482618 0.8783829 0.9876116
858,862c858,862
< (Intercept) 0.225547338 -0.020659849 -0.254923366 -0.024004847 -0.003023586
< x1 -0.020659849 0.043795683 0.008645178 0.013411298 0.002977232
< x2 -0.254923366 0.008645178 0.454402417 0.017272431 0.001627894
< logSigmaMu -0.024004847 0.013411298 0.017272431 0.066524459 -0.002617193
< logSigmaNu -0.003023586 0.002977232 0.001627894 -0.002617193 0.016820505
---
> (Intercept) 0.225413235 -0.020660460 -0.254872111 -0.024058747 -0.003055367
> x1 -0.020660460 0.043775353 0.008670292 0.013424948 0.002954403
> x2 -0.254872111 0.008670292 0.454320177 0.017344565 0.001704899
> logSigmaMu -0.024058747 0.013424948 0.017344565 0.066614118 -0.002644224
> logSigmaNu -0.003055367 0.002954403 0.001704899 -0.002644224 0.016819840
865,869c865,869
< (Intercept) 0.225547338 -0.020659849 -0.254923366 -0.021102089 -0.002986305
< x1 -0.020659849 0.043795683 0.008645178 0.011789552 0.002940523
< x2 -0.254923366 0.008645178 0.454402417 0.015183783 0.001607822
< sigmaMu -0.021102089 0.011789552 0.015183783 0.051408433 -0.002272344
< sigmaNu -0.002986305 0.002940523 0.001607822 -0.002272344 0.016408266
---
> (Intercept) 0.225413235 -0.020660460 -0.254872111 -0.021132792 -0.003017516
> x1 -0.020660460 0.043775353 0.008670292 0.011792244 0.002917803
> x2 -0.254872111 0.008670292 0.454320177 0.015235169 0.001683778
> sigmaMu -0.021132792 0.011792244 0.015235169 0.051396556 -0.002293867
> sigmaNu -0.003017516 0.002917803 0.001683778 -0.002293867 0.016405681
871c871
< 'log Lik.' -73.19885 (df=5)
---
> 'log Lik.' -73.19889 (df=5)
875c875
< [1] -40.0000 156.3977
---
> [1] -40.0000 156.3978
878c878
< [1] -73.19885
---
> [1] -73.19889
882c882
< 4.63097856 1.68040051 2.24537217 -0.12888373 -0.01240673
---
> 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
886c886
< 0.006944037 -0.003046211 -0.006488089 -0.005118301 0.001500540
---
> 0.007307875 0.009883823 -0.013334396 0.006186400 0.005241257
890,894c890,894
< (Intercept) -13.303170 -4.094398 -7.2996782 -2.1304441 -1.2916368
< x1 -4.094398 -26.068838 -1.9884643 4.4818998 4.7680032
< x2 -7.299678 -1.988464 -6.2323490 -0.6329118 -0.4555114
< logSigmaMu -2.130444 4.481900 -0.6329118 -16.6860475 -3.7112759
< logSigmaNu -1.291637 4.768003 -0.4555114 -3.7112759 -61.0607354
---
> (Intercept) -13.320457 -4.097602 -7.3082204 -2.1336126 -1.2945958
> x1 -4.097602 -26.078345 -1.9899709 4.4821291 4.7426563
> x2 -7.308220 -1.989971 -6.2371991 -0.6321033 -0.4451737
> logSigmaMu -2.133613 4.482129 -0.6321033 -16.6692492 -3.7313402
> logSigmaNu -1.294596 4.742656 -0.4451737 -3.7313402 -61.0632866
910c910
< [1] 78
---
> [1] 75
917,931c917,931
< [1,] -0.85206138 0.22442271 -0.07311591 -0.1445074 -0.9661601
< [2,] -1.70187668 0.04747057 -1.18969159 1.6806616 -1.0132343
< [3,] 1.74921893 0.33211916 1.72521062 1.8348055 1.7974081
< [4,] 0.15528137 -0.20310227 -0.43344091 -0.6889569 -1.4301268
< [5,] 0.12979785 0.98314152 0.68804866 -0.6770627 -0.5593318
< [6,] 0.32974935 -0.30810008 0.38397990 -0.4919191 -1.5811788
< [7,] -0.08030848 -3.18637483 -0.23692588 -0.6773447 6.0329818
< [8,] -0.26559753 0.37795985 0.05587579 -0.5392357 -1.1082909
< [9,] 1.14833190 0.59340589 0.30316802 0.1339680 -1.6159554
< [10,] -0.43351210 -0.40537392 -0.15185617 -0.4696995 -1.9365284
< [11,] -0.02776533 1.44957083 -0.64439750 -0.9186558 2.7403492
< [12,] 1.20948356 0.53756824 0.61148339 0.2042393 -1.7336735
< [13,] 0.53657655 -0.22551268 0.33130056 -0.3681024 -1.4083837
< [14,] -1.81354984 -1.30664611 -0.91919903 1.9576631 2.5778652
< [15,] -0.07682413 1.08640491 -0.45692806 -0.8409715 0.2057601
---
> [1,] -0.85234478 0.22391255 -0.07352168 -0.1446474 -0.9667939
> [2,] -1.70440691 0.04648408 -1.19187418 1.6836901 -1.0116930
> [3,] 1.75174657 0.33535241 1.72587454 1.8367494 1.7958201
> [4,] 0.15579094 -0.20309642 -0.43362554 -0.6891859 -1.4267967
> [5,] 0.12991963 0.98333538 0.68739315 -0.6767124 -0.5620972
> [6,] 0.33086011 -0.30311404 0.38387759 -0.4917565 -1.5823937
> [7,] -0.07989148 -3.18597288 -0.23681005 -0.6769023 6.0302925
> [8,] -0.26596451 0.37804584 0.05556194 -0.5387087 -1.1089943
> [9,] 1.14932504 0.59476363 0.30337878 0.1352853 -1.6147885
> [10,] -0.43413381 -0.40461336 -0.15239416 -0.4696682 -1.9371976
> [11,] -0.02782997 1.45111717 -0.64509342 -0.9178916 2.7444007
> [12,] 1.21065533 0.53914179 0.61120668 0.2059469 -1.7330972
> [13,] 0.53650159 -0.22510291 0.33108334 -0.3687683 -1.4084656
> [14,] -1.81538737 -1.30822940 -0.92054812 1.9588064 2.5784263
> [15,] -0.07753252 1.08785999 -0.45784326 -0.8400504 0.2086192
997c997
< 0.3671 -1.6800 -2.2430 -0.1295 -0.0123
---
> 0.36750 -1.67993 -2.24379 -0.12947 -0.01241
1002c1002
< BFGSR maximization, 95 iterations
---
> BFGSR maximization, 78 iterations
1008,1012c1008,1012
< (Intercept) 0.367147 0.474614 0.7736 0.4391849
< x1 -1.680038 0.209254 -8.0287 9.85e-16 ***
< x2 -2.242997 0.674020 -3.3278 0.0008754 ***
< logSigmaMu -0.129464 0.258078 -0.5016 0.6159153
< logSigmaNu -0.012298 0.129705 -0.0948 0.9244617
---
> (Intercept) 0.367502 0.474613 0.7743 0.4387426
> x1 -1.679929 0.209229 -8.0291 9.816e-16 ***
> x2 -2.243794 0.673969 -3.3292 0.0008709 ***
> logSigmaMu -0.129473 0.258047 -0.5017 0.6158482
> logSigmaNu -0.012409 0.129690 -0.0957 0.9237740
1028,1032c1028,1032
< (Intercept) 0.3671 0.4746 0.774 0.439185
< x1 -1.6800 0.2092 -8.029 9.85e-16 ***
< x2 -2.2430 0.6740 -3.328 0.000875 ***
< logSigmaMu -0.1295 0.2581 -0.502 0.615915
< logSigmaNu -0.0123 0.1297 -0.095 0.924462
---
> (Intercept) 0.36750 0.47461 0.774 0.438743
> x1 -1.67993 0.20923 -8.029 9.82e-16 ***
> x2 -2.24379 0.67397 -3.329 0.000871 ***
> logSigmaMu -0.12947 0.25805 -0.502 0.615848
> logSigmaNu -0.01241 0.12969 -0.096 0.923774
1036c1036
< BFGSR maximization, 95 iterations
---
> BFGSR maximization, 78 iterations
1042c1042
< 0.36714739 -1.68003822 -2.24299687 -0.12946405 -0.01229799
---
> 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
1045c1045
< 0.3671474 -1.6800382 -2.2429969 0.8785662 0.9877773
---
> 0.3675016 -1.6799293 -2.2437944 0.8785579 0.9876678
1048,1052c1048,1052
< (Intercept) 0.225258547 -0.020603109 -0.254747407 0.023895098 0.003002902
< x1 -0.020603109 0.043787151 0.008598328 -0.013412039 -0.002969532
< x2 -0.254747407 0.008598328 0.454302464 -0.017231670 -0.001569930
< logSigmaMu 0.023895098 -0.013412039 -0.017231670 0.066604028 -0.002637088
< logSigmaNu 0.003002902 -0.002969532 -0.001569930 -0.002637088 0.016823379
---
> (Intercept) 0.22525765 -0.020606031 -0.254727485 0.023900534 0.003010360
> x1 -0.02060603 0.043776857 0.008606687 -0.013409282 -0.002965503
> x2 -0.25472748 0.008606687 0.454234549 -0.017236296 -0.001593108
> logSigmaMu 0.02390053 -0.013409282 -0.017236296 0.066588439 -0.002635405
> logSigmaNu 0.00301036 -0.002965503 -0.001593108 -0.002635405 0.016819519
1055,1059c1055,1059
< (Intercept) 0.225258547 -0.020603109 -0.254747407 0.020993425 0.002966199
< x1 -0.020603109 0.043787151 0.008598328 -0.011783364 -0.002933236
< x2 -0.254747407 0.008598328 0.454302464 -0.015139162 -0.001550741
< sigmaMu 0.020993425 -0.011783364 -0.015139162 0.051410218 -0.002288538
< sigmaNu 0.002966199 -0.002933236 -0.001550741 -0.002288538 0.016414639
---
> (Intercept) 0.225257647 -0.020606031 -0.254727485 0.020998003 0.002973236
> x1 -0.020606031 0.043776857 0.008606687 -0.011780830 -0.002928932
> x2 -0.254727485 0.008606687 0.454234549 -0.015143084 -0.001573462
> sigmaMu 0.020998003 -0.011780830 -0.015143084 0.051397216 -0.002286802
> sigmaNu 0.002973236 -0.002928932 -0.001573462 -0.002286802 0.016407234
1070c1070
< 0.36714739 -1.68003822 -2.24299687 -0.12946405 -0.01229799
---
> 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
1074c1074
< -1.919953e-03 -1.365603e-03 4.331385e-03 4.672383e-05 -6.042132e-03
---
> -0.0014212306 -0.0034992596 0.0064419525 0.0003782988 0.0003341343
1078,1082c1078,1082
< (Intercept) -13.317479 -4.095549 -7.3054674 2.1146771 1.3039437
< x1 -4.095549 -26.070209 -1.9896478 -4.4836083 -4.7591546
< x2 -7.305467 -1.989648 -6.2346583 0.6258343 0.4690903
< logSigmaMu 2.114677 -4.483608 0.6258343 -16.6610964 -3.7221203
< logSigmaNu 1.303944 -4.759155 0.4690903 -3.7221203 -61.0535611
---
> (Intercept) -13.317517 -4.096146 -7.3057987 2.1155739 1.300861
> x1 -4.096146 -26.075639 -1.9898094 -4.4840349 -4.755412
> x2 -7.305799 -1.989809 -6.2353998 0.6259168 0.464233
> logSigmaMu 2.115574 -4.484035 0.6259168 -16.6651955 -3.721179
> logSigmaNu 1.300861 -4.755412 0.4642330 -3.7211788 -61.065093
1098c1098
< [1] 95
---
> [1] 78
1105,1119c1105,1119
< [1,] 0.85270943 -0.22480329 0.07296586 -0.1442336 -0.9633838
< [2,] 1.70319335 -0.04773466 1.19027549 1.6814095 -1.0129042
< [3,] -1.75048829 -0.33387795 -1.72650133 1.8348847 1.8007205
< [4,] -0.15577366 0.20263690 0.43256657 -0.6891235 -1.4329178
< [5,] -0.12957942 -0.98381652 -0.68860313 -0.6769390 -0.5571905
< [6,] -0.33033402 0.30775616 -0.38436349 -0.4921596 -1.5806211
< [7,] 0.08139714 3.18477945 0.23705795 -0.6767185 6.0270136
< [8,] 0.26652303 -0.37858058 -0.05563521 -0.5386304 -1.1090657
< [9,] -1.14839555 -0.59387792 -0.30326950 0.1336043 -1.6167125
< [10,] 0.43467916 0.40579857 0.15239198 -0.4690748 -1.9367984
< [11,] 0.02822978 -1.44856822 0.64424180 -0.9174346 2.7365421
< [12,] -1.21038372 -0.53728822 -0.61259771 0.2054630 -1.7347464
< [13,] -0.53604627 0.22514774 -0.33110890 -0.3690068 -1.4085411
< [14,] 1.81456703 1.30670490 0.91973016 1.9576175 2.5796784
< [15,] 0.07778206 -1.08564195 0.45718085 -0.8396116 0.2028848
---
> [1,] 0.85278081 -0.2247850 0.07302970 -0.1442070 -0.9634923
> [2,] 1.70342425 -0.0476419 1.19055345 1.6820162 -1.0127268
> [3,] -1.75059965 -0.3340379 -1.72645582 1.8351650 1.8000202
> [4,] -0.15552297 0.2026892 0.43296702 -0.6893599 -1.4315786
> [5,] -0.12953233 -0.9838683 -0.68846571 -0.6770129 -0.5576955
> [6,] -0.33020957 0.3070305 -0.38415893 -0.4921914 -1.5806796
> [7,] 0.08124385 3.1854369 0.23706941 -0.6768114 6.0284476
> [8,] 0.26650783 -0.3785437 -0.05560267 -0.5386742 -1.1090288
> [9,] -1.14849813 -0.5942606 -0.30325840 0.1336487 -1.6163416
> [10,] 0.43466534 0.4056715 0.15242875 -0.4690608 -1.9368240
> [11,] 0.02815366 -1.4492071 0.64446998 -0.9176305 2.7387662
> [12,] -1.21036511 -0.5376472 -0.61231215 0.2052291 -1.7342086
> [13,] -0.53592238 0.2250517 -0.33100094 -0.3690601 -1.4085335
> [14,] 1.81473915 1.3068211 0.91982779 1.9580283 2.5799493
> [15,] 0.07771403 -1.0862084 0.45735047 -0.8397008 0.2042601
1186c1186
< -4.63196 -1.68025 -2.24442 -0.12944 -0.01185
---
> -4.63391 -1.68002 -2.24127 -0.12953 -0.01241
1191,1195c1191,1193
< BFGSR maximization, 97 iterations
< Return code 3: Last step could not find a value above the current.
< Boundary of parameter space?
< Consider switching to a more robust optimisation method temporarily.
< Log-Likelihood: -73.19885
---
> BFGSR maximization, 73 iterations
> Return code 2: successive function values within tolerance limit
> Log-Likelihood: -73.19882
1199,1203c1197,1201
< (Intercept) -4.631955 0.474759 -9.7564 < 2.2e-16 ***
< x1 -1.680252 0.209351 -8.0260 1.007e-15 ***
< x2 -2.244422 0.674311 -3.3285 0.0008732 ***
< logSigmaMu -0.129437 0.258176 -0.5014 0.6161230
< logSigmaNu -0.011853 0.129761 -0.0913 0.9272202
---
> (Intercept) -4.633912 0.474500 -9.7659 < 2.2e-16 ***
> x1 -1.680022 0.209226 -8.0297 9.772e-16 ***
> x2 -2.241274 0.673908 -3.3258 0.0008817 ***
> logSigmaMu -0.129526 0.258065 -0.5019 0.6157303
> logSigmaNu -0.012412 0.129690 -0.0957 0.9237579
1219,1223c1217,1221
< (Intercept) -4.63196 0.47476 -9.756 < 2e-16 ***
< x1 -1.68025 0.20935 -8.026 1.01e-15 ***
< x2 -2.24442 0.67431 -3.328 0.000873 ***
< logSigmaMu -0.12944 0.25818 -0.501 0.616123
< logSigmaNu -0.01185 0.12976 -0.091 0.927220
---
> (Intercept) -4.63391 0.47450 -9.766 < 2e-16 ***
> x1 -1.68002 0.20923 -8.030 9.77e-16 ***
> x2 -2.24127 0.67391 -3.326 0.000882 ***
> logSigmaMu -0.12953 0.25807 -0.502 0.615730
> logSigmaNu -0.01241 0.12969 -0.096 0.923758
1227,1231c1225,1227
< BFGSR maximization, 97 iterations
< Return code 3: Last step could not find a value above the current.
< Boundary of parameter space?
< Consider switching to a more robust optimisation method temporarily.
< Log-likelihood: -73.19885 on 5 Df
---
> BFGSR maximization, 73 iterations
> Return code 2: successive function values within tolerance limit
> Log-likelihood: -73.19882 on 5 Df
1235c1231
< -4.63195533 -1.68025236 -2.24442159 -0.12943714 -0.01185276
---
> -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
1238c1234
< -4.6319553 -1.6802524 -2.2444216 0.8785898 0.9882172
---
> -4.6339117 -1.6800223 -2.2412745 0.8785119 0.9876652
1241,1245c1237,1241
< (Intercept) 0.225396513 -0.020625687 -0.254952419 0.023929987 0.003028501
< x1 -0.020625687 0.043827792 0.008620895 -0.013427147 -0.002977325
< x2 -0.254952419 0.008620895 0.454694718 -0.017277212 -0.001608561
< logSigmaMu 0.023929987 -0.013427147 -0.017277212 0.066654771 -0.002639998
< logSigmaNu 0.003028501 -0.002977325 -0.001608561 -0.002639998 0.016837991
---
> (Intercept) 0.225149823 -0.020580559 -0.254635601 0.023847765 0.002981648
> x1 -0.020580559 0.043775600 0.008573460 -0.013405916 -0.002969797
> x2 -0.254635601 0.008573460 0.454151985 -0.017194816 -0.001524188
> logSigmaMu 0.023847765 -0.013405916 -0.017194816 0.066597765 -0.002638193
> logSigmaNu 0.002981648 -0.002969797 -0.001524188 -0.002638193 0.016819556
1248,1252c1244,1248
< (Intercept) 0.225396513 -0.020625687 -0.254952419 0.021024643 0.002992817
< x1 -0.020625687 0.043827792 0.008620895 -0.011796955 -0.002942243
< x2 -0.254952419 0.008620895 0.454694718 -0.015179583 -0.001589608
< sigmaMu 0.021024643 -0.011796955 -0.015179583 0.051452155 -0.002292145
< sigmaNu 0.002992817 -0.002942243 -0.001589608 -0.002292145 0.016443531
---
> (Intercept) 0.22514982 -0.020580559 -0.254635601 0.020950545 0.002944870
> x1 -0.02058056 0.043775600 0.008573460 -0.011777256 -0.002933165
> x2 -0.25463560 0.008573460 0.454151985 -0.015105851 -0.001505387
> sigmaMu 0.02095055 -0.011777256 -0.015105851 0.051399034 -0.002289095
> sigmaNu 0.00294487 -0.002933165 -0.001505387 -0.002289095 0.016407183
1254c1250
< 'log Lik.' -73.19885 (df=5)
---
> 'log Lik.' -73.19882 (df=5)
1256c1252
< [1] -40.0000 156.3977
---
> [1] -40.0000 156.3976
1259c1255
< [1] -73.19885
---
> [1] -73.19882
1263c1259
< -4.63195533 -1.68025236 -2.24442159 -0.12943714 -0.01185276
---
> -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
1267c1263
< -1.947094e-03 1.134648e-03 7.308206e-03 -9.262701e-05 -3.178959e-02
---
> -7.425390e-04 -5.237316e-05 1.205358e-03 2.666987e-04 4.763349e-04
1271,1275c1267,1271
< (Intercept) -13.312530 -4.092421 -7.3019527 2.1139678 1.304655
< x1 -4.092421 -26.048065 -1.9879491 -4.4818790 -4.762417
< x2 -7.301953 -1.987949 -6.2305019 0.6244682 0.464524
< logSigmaMu 2.113968 -4.481879 0.6244682 -16.6500802 -3.723594
< logSigmaNu 1.304655 -4.762417 0.4645240 -3.7235942 -61.005704
---
> (Intercept) -13.321012 -4.096571 -7.3072433 2.1105735 1.306995
> x1 -4.096571 -26.076360 -1.9903898 -4.4846924 -4.761848
> x2 -7.307243 -1.990390 -6.2361292 0.6247544 0.476812
> logSigmaMu 2.110574 -4.484692 0.6247544 -16.6602022 -3.722583
> logSigmaNu 1.306995 -4.761848 0.4768120 -3.7225828 -61.067774
1278c1274
< [1] 3
---
> [1] 2
1281c1277
< [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily."
---
> [1] "successive function values within tolerance limit"
1284,1286c1280
< $last.step$theta0
< (Intercept) x1 x2 logSigmaMu logSigmaNu
< -4.63197664 -1.67993985 -2.24423717 -0.12928483 -0.01263147
---
> NULL
1288,1311d1281
< $last.step$f0
< [1] -73.19884
< attr(,"gradient")
< [,1] [,2] [,3] [,4] [,5]
< [1,] 0.85254267 -0.22530431 0.07282224 -0.1443594 -0.9636005
< [2,] 1.70283873 -0.04793024 1.19020483 1.6813961 -1.0129643
< [3,] -1.75073154 -0.33353696 -1.72666658 1.8364642 1.8003041
< [4,] -0.15530190 0.20281497 0.43341795 -0.6891956 -1.4304893
< [5,] -0.12972330 -0.98393913 -0.68866763 -0.6770775 -0.5574830
< [6,] -0.33021242 0.30701691 -0.38419357 -0.4917595 -1.5803906
< [7,] 0.08086677 3.18701496 0.23709333 -0.6771490 6.0325166
< [8,] 0.26613005 -0.37834569 -0.05574953 -0.5390062 -1.1086028
< [9,] -1.14859583 -0.59449939 -0.30324943 0.1337518 -1.6158020
< [10,] 0.43410178 0.40554480 0.15214412 -0.4693730 -1.9365500
< [11,] 0.02790072 -1.45000147 0.64465600 -0.9183356 2.7419086
< [12,] -1.21002439 -0.53781233 -0.61193440 0.2048653 -1.7334700
< [13,] -0.53625974 0.22531302 -0.33117680 -0.3685658 -1.4081869
< [14,] 1.81429632 1.30625257 0.91942492 1.9577289 2.5803353
< [15,] 0.07719191 -1.08685581 0.45730228 -0.8404483 0.2062256
<
< $last.step$climb
< [1] -366121.1 5368932.8 3168432.9 2616592.6 -13378130.6
<
<
1317c1287
< [1] 97
---
> [1] 73
1324,1338c1294,1308
< [1,] 0.85233979 -0.22351591 0.07344914 -0.1444097 -0.9660542
< [2,] 1.70329625 -0.04690551 1.19052474 1.6816912 -1.0125564
< [3,] -1.74961489 -0.33406976 -1.72505932 1.8327608 1.7970499
< [4,] -0.15619483 0.20275970 0.43210837 -0.6889775 -1.4329596
< [5,] -0.12956645 -0.98305958 -0.68765493 -0.6767325 -0.5599153
< [6,] -0.33035516 0.30718735 -0.38416443 -0.4925051 -1.5821870
< [7,] 0.08103556 3.18225212 0.23680700 -0.6764808 6.0220843
< [8,] 0.26641498 -0.37840829 -0.05555882 -0.5384153 -1.1093352
< [9,] -1.14829791 -0.59302669 -0.30325207 0.1341100 -1.6169979
< [10,] 0.43464013 0.40537801 0.15244869 -0.4692265 -1.9372936
< [11,] 0.02832040 -1.44779350 0.64396656 -0.9169098 2.7329622
< [12,] -1.21046261 -0.53731524 -0.61242718 0.2057721 -1.7355557
< [13,] -0.53606985 0.22498478 -0.33103262 -0.3691514 -1.4091313
< [14,] 1.81451380 1.30762110 0.92008660 1.9576343 2.5767424
< [15,] 0.07805370 -1.08495395 0.45706647 -0.8392526 0.2013576
---
> [1,] 0.85300597 -0.22538442 0.07270967 -0.1440551 -0.9615875
> [2,] 1.70313415 -0.04819704 1.19001008 1.6809910 -1.0132088
> [3,] -1.75081925 -0.33365931 -1.72733510 1.8354213 1.8035220
> [4,] -0.15575929 0.20248810 0.43239154 -0.6891027 -1.4343552
> [5,] -0.12954290 -0.98419670 -0.68923518 -0.6769998 -0.5551304
> [6,] -0.33034949 0.30889860 -0.38462520 -0.4921179 -1.5796319
> [7,] 0.08189456 3.18535013 0.23720553 -0.6766812 6.0277787
> [8,] 0.26673068 -0.37878111 -0.05566019 -0.5386220 -1.1090629
> [9,] -1.14832130 -0.59395010 -0.30328878 0.1331873 -1.6170652
> [10,] 0.43493369 0.40626633 0.15243113 -0.4688524 -1.9365296
> [11,] 0.02832945 -1.44822208 0.64415440 -0.9173654 2.7358109
> [12,] -1.21044619 -0.53688713 -0.61307141 0.2055182 -1.7349351
> [13,] -0.53600998 0.22524959 -0.33118372 -0.3690370 -1.4082862
> [14,] 1.81463246 1.30632858 0.91958449 1.9574877 2.5811938
> [15,] 0.07784490 -1.08535582 0.45711810 -0.8395052 0.2019637
1405c1375
< -0.231785 1.893512 1.965591 0.002186 0.052714
---
> -0.233782 1.893280 1.969602 0.001543 0.052867
1410,1412c1380,1384
< BFGSR maximization, 90 iterations
< Return code 2: successive function values within tolerance limit
< Log-Likelihood: -64.31276
---
> BFGSR maximization, 96 iterations
> Return code 3: Last step could not find a value above the current.
> Boundary of parameter space?
> Consider switching to a more robust optimisation method temporarily.
> Log-Likelihood: -64.31273
1416,1420c1388,1392
< (Intercept) -0.2317854 0.5482888 -0.4227 0.67248
< x1 1.8935123 0.3011230 6.2882 3.212e-10 ***
< x2 1.9655913 0.8185109 2.4014 0.01633 *
< logSigmaMu 0.0021865 0.2777349 0.0079 0.99372
< logSigmaNu 0.0527144 0.1629827 0.3234 0.74637
---
> (Intercept) -0.2337822 0.5483289 -0.4264 0.66985
> x1 1.8932801 0.3011173 6.2875 3.226e-10 ***
> x2 1.9696025 0.8188341 2.4054 0.01616 *
> logSigmaMu 0.0015433 0.2778758 0.0056 0.99557
> logSigmaNu 0.0528675 0.1630158 0.3243 0.74570
1436,1440c1408,1412
< (Intercept) -0.231785 0.548289 -0.423 0.6725
< x1 1.893512 0.301123 6.288 3.21e-10 ***
< x2 1.965591 0.818511 2.401 0.0163 *
< logSigmaMu 0.002186 0.277735 0.008 0.9937
< logSigmaNu 0.052714 0.162983 0.323 0.7464
---
> (Intercept) -0.233782 0.548329 -0.426 0.6698
> x1 1.893280 0.301117 6.288 3.23e-10 ***
> x2 1.969602 0.818834 2.405 0.0162 *
> logSigmaMu 0.001543 0.277876 0.006 0.9956
> logSigmaNu 0.052867 0.163016 0.324 0.7457
1444,1446c1416,1420
< BFGSR maximization, 90 iterations
< Return code 2: successive function values within tolerance limit
< Log-likelihood: -64.31276 on 5 Df
---
> BFGSR maximization, 96 iterations
> Return code 3: Last step could not find a value above the current.
> Boundary of parameter space?
> Consider switching to a more robust optimisation method temporarily.
> Log-likelihood: -64.31273 on 5 Df
1460,1464c1434,1438
< (Intercept) -0.2318 0.5483 -0.423 0.672483
< x1 1.8935 0.3011 6.288 3.21e-10 ***
< x2 1.9656 0.8185 2.401 0.016331 *
< sigmaMu 1.0022 0.2783 3.601 0.000318 ***
< sigmaNu 1.0541 0.1718 6.136 8.48e-10 ***
---
> (Intercept) -0.2338 0.5483 -0.426 0.66985
> x1 1.8933 0.3011 6.288 3.23e-10 ***
> x2 1.9696 0.8188 2.405 0.01616 *
> sigmaMu 1.0015 0.2783 3.599 0.00032 ***
> sigmaNu 1.0543 0.1719 6.134 8.55e-10 ***
1468,1470c1442,1446
< BFGSR maximization, 90 iterations
< Return code 2: successive function values within tolerance limit
< Log-likelihood: -64.31276 on 5 Df
---
> BFGSR maximization, 96 iterations
> Return code 3: Last step could not find a value above the current.
> Boundary of parameter space?
> Consider switching to a more robust optimisation method temporarily.
> Log-likelihood: -64.31273 on 5 Df
1474c1450
< -0.231785369 1.893512278 1.965591286 0.002186497 0.052714364
---
> -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
1477c1453
< -0.2317854 1.8935123 1.9655913 1.0021889 1.0541285
---
> -0.2337822 1.8932801 1.9696025 1.0015445 1.0542899
1480,1484c1456,1460
< (Intercept) 0.30062066 -0.03129016 -0.36380438 -0.015829625 -0.016308515
< x1 -0.03129016 0.09067508 0.03162721 0.035190376 0.015936783
< x2 -0.36380438 0.03162721 0.66996017 0.018483312 0.024322349
< logSigmaMu -0.01582963 0.03519038 0.01848331 0.077136660 0.004366573
< logSigmaNu -0.01630852 0.01593678 0.02432235 0.004366573 0.026563376
---
> (Intercept) 0.30066457 -0.03140943 -0.36406867 -0.015974524 -0.016384019
> x1 -0.03140943 0.09067161 0.03182344 0.035194978 0.015930682
> x2 -0.36406867 0.03182344 0.67048933 0.018652238 0.024503878
> logSigmaMu -0.01597452 0.03519498 0.01865224 0.077214979 0.004337456
> logSigmaNu -0.01638402 0.01593068 0.02450388 0.004337456 0.026574149
1487,1491c1463,1467
< (Intercept) 0.30062066 -0.03129016 -0.36380438 -0.015864274 -0.017191271
< x1 -0.03129016 0.09067508 0.03162721 0.035267404 0.016799417
< x2 -0.36380438 0.03162721 0.66996017 0.018523770 0.025638881
< sigmaMu -0.01586427 0.03526740 0.01852377 0.077474717 0.004613004
< sigmaNu -0.01719127 0.01679942 0.02563888 0.004613004 0.029516875
---
> (Intercept) 0.30066457 -0.03140943 -0.36406867 -0.015999196 -0.017273506
> x1 -0.03140943 0.09067161 0.03182344 0.035249335 0.016795557
> x2 -0.36406867 0.03182344 0.67048933 0.018681045 0.025834191
> sigmaMu -0.01599920 0.03524934 0.01868105 0.077453673 0.004579999
> sigmaNu -0.01727351 0.01679556 0.02583419 0.004579999 0.029537890
1494,1498c1470,1474
< (Intercept) -0.231785369 0.5482888 -0.422743174 6.724827e-01
< x1 1.893512278 0.3011230 6.288168079 3.212340e-10
< x2 1.965591286 0.8185109 2.401423342 1.633143e-02
< logSigmaMu 0.002186497 0.2777349 0.007872605 9.937186e-01
< logSigmaNu 0.052714364 0.1629827 0.323435241 7.463656e-01
---
> (Intercept) -0.23378216 0.5483289 -0.426353903 6.698500e-01
> x1 1.89328013 0.3011173 6.287517678 3.225823e-10
> x2 1.96960246 0.8188341 2.405374171 1.615591e-02
> logSigmaMu 0.00154326 0.2778758 0.005553777 9.955687e-01
> logSigmaNu 0.05286747 0.1630158 0.324308863 7.457042e-01
1501,1505c1477,1481
< (Intercept) -0.2317854 0.5482888 -0.4227432 6.724827e-01
< x1 1.8935123 0.3011230 6.2881681 3.212340e-10
< x2 1.9655913 0.8185109 2.4014233 1.633143e-02
< sigmaMu 1.0021889 0.2783428 3.6005561 3.175373e-04
< sigmaNu 1.0541285 0.1718048 6.1356188 8.482836e-10
---
> (Intercept) -0.2337822 0.5483289 -0.4263539 6.698500e-01
> x1 1.8932801 0.3011173 6.2875177 3.225823e-10
> x2 1.9696025 0.8188341 2.4053742 1.615591e-02
> sigmaMu 1.0015445 0.2783050 3.5987296 3.197754e-04
> sigmaNu 1.0542899 0.1718659 6.1343749 8.549467e-10
1507c1483
< 'log Lik.' -64.31276 (df=5)
---
> 'log Lik.' -64.31273 (df=5)
1514c1490
< [1] -64.31276
---
> [1] -64.31273
1518c1494
< -0.231785369 1.893512278 1.965591286 0.002186497 0.052714364
---
> -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
1522c1498
< -1.775534e-03 -3.791408e-03 9.433122e-03 -6.224518e-03 4.493925e-06
---
> -0.002894857 -0.002369745 0.002610000 0.003016516 -0.002543448
1526,1530c1502,1506
< (Intercept) -9.92022399 -1.4896771 -5.3027562 -0.06684222 -0.3303836
< x1 -1.48967714 -15.1381958 -0.5451239 6.29909125 7.6312954
< x2 -5.30275619 -0.5451239 -4.3892868 0.15192106 1.0654456
< logSigmaMu -0.06684222 6.2990912 0.1519211 -15.81081900 -1.3602688
< logSigmaNu -0.33038364 7.6312954 1.0654456 -1.36026877 -43.1790298
---
> (Intercept) -9.92921213 -1.4915778 -5.3068262 -0.07430279 -0.3220588
> x1 -1.49157779 -15.1380768 -0.5453987 6.29452164 7.6308755
> x2 -5.30682618 -0.5453987 -4.3907451 0.15071751 1.0791686
> logSigmaMu -0.07430279 6.2945216 0.1507175 -15.79417345 -1.3802899
> logSigmaNu -0.32205878 7.6308755 1.0791686 -1.38028985 -43.1734818
1533c1509
< [1] 2
---
> [1] 3
1536c1512
< [1] "successive function values within tolerance limit"
---
> [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily."
1539c1515,1517
< NULL
---
> $last.step$theta0
> (Intercept) x1 x2 logSigmaMu logSigmaNu
> -0.233805135 1.893310605 1.969641022 0.001551443 0.052675686
1540a1519,1542
> $last.step$f0
> [1] -64.31273
> attr(,"gradient")
> [,1] [,2] [,3] [,4] [,5]
> [1,] -0.85417510 -0.10609337 -0.18146777 -0.0235494 -0.8369719
> [2,] -1.41680128 -0.02702422 -0.97196805 1.4567554 -1.1645981
> [3,] 1.29745993 1.02088535 0.92544703 1.0920903 0.1540724
> [4,] 0.07075595 -0.25207707 -0.39840982 -0.7015966 -1.8261020
> [5,] 0.08922410 0.80745931 0.64769792 -0.6906630 -0.2847701
> [6,] 0.55923778 0.49468626 0.42897976 -0.2914444 -0.3603540
> [7,] -0.12034788 -3.06219247 -0.23674144 -0.7063845 6.3455056
> [8,] -0.20961505 0.33550846 0.08326478 -0.5906480 -1.0295346
> [9,] 1.03436546 0.66021829 0.28832659 0.1971790 -1.2970105
> [10,] -0.42828980 -0.58564682 -0.11733332 -0.3957152 -1.8006439
> [11,] -0.04064163 1.09509187 -0.50821521 -0.8668820 2.0017961
> [12,] 1.14034027 0.50533928 0.83221911 0.5852838 -0.7450190
> [13,] 0.53486256 -0.28181457 0.34791505 -0.2865027 -1.4336469
> [14,] -1.63819150 -1.34761986 -0.83803596 2.1201245 2.7646850
> [15,] -0.02103951 0.73904950 -0.29933851 -0.8946959 -0.4814000
>
> $last.step$climb
> [1] -394657.2 523581.9 662476.4 140569.0 -3294770.3
>
>
1546c1548
< [1] 90
---
> [1] 96
1553,1567c1555,1569
< [1,] -0.85386378 -0.10537640 -0.18097842 -0.02379226 -0.8364372
< [2,] -1.41472029 -0.02534711 -0.96994388 1.45318913 -1.1653368
< [3,] 1.29661658 1.02096623 0.92533250 1.09176908 0.1538910
< [4,] 0.07022470 -0.25174619 -0.39809855 -0.70130192 -1.8301507
< [5,] 0.08899421 0.80773544 0.64842876 -0.69115882 -0.2814840
< [6,] 0.55932359 0.49346198 0.42934630 -0.29090931 -0.3591809
< [7,] -0.12081794 -3.06183506 -0.23681963 -0.70655336 6.3446392
< [8,] -0.20961182 0.33572227 0.08349829 -0.59107481 -1.0289209
< [9,] 1.03345804 0.66021213 0.28813427 0.19554553 -1.2975374
< [10,] -0.42769650 -0.58597549 -0.11684486 -0.39568344 -1.8001274
< [11,] -0.04030798 1.09406085 -0.50754022 -0.86702525 1.9988674
< [12,] 1.13913504 0.50406730 0.83245513 0.58375521 -0.7443139
< [13,] 0.53462614 -0.28191363 0.34797277 -0.28606570 -1.4337192
< [14,] -1.63674621 -1.34569121 -0.83695580 2.11855940 2.7628627
< [15,] -0.02038932 0.73786748 -0.29855356 -0.89547798 -0.4830473
---
> [1,] -0.85399301 -0.10602099 -0.18140766 -0.02364687 -0.8371385
> [2,] -1.41680831 -0.02700922 -0.97193915 1.45664700 -1.1645431
> [3,] 1.29738032 1.02095947 0.92539297 1.09190281 0.1539769
> [4,] 0.07100562 -0.25197861 -0.39807733 -0.70154825 -1.8266607
> [5,] 0.08922699 0.80745668 0.64756678 -0.69055935 -0.2850413
> [6,] 0.55925418 0.49480489 0.42892323 -0.29147726 -0.3608594
> [7,] -0.12039508 -3.06089075 -0.23666324 -0.70622873 6.3420715
> [8,] -0.20969533 0.33555238 0.08322106 -0.59050851 -1.0297117
> [9,] 1.03428932 0.66016070 0.28831450 0.19721031 -1.2971304
> [10,] -0.42828624 -0.58538485 -0.11736408 -0.39582567 -1.8009247
> [11,] -0.04081588 1.09472020 -0.50816401 -0.86667778 2.0006839
> [12,] 1.14045635 0.50528295 0.83226925 0.58550194 -0.7452782
> [13,] 0.53470207 -0.28162570 0.34780933 -0.28674186 -1.4339655
> [14,] -1.63795687 -1.34717561 -0.83791582 2.11940059 2.7641334
> [15,] -0.02125898 0.73877872 -0.29935581 -0.89443186 -0.4821556
1634,1643c1636,1640
< [1] "Component 1: Mean relative difference: 1.325723e-06"
< [2] "Component 2: Mean relative difference: 0.002081321"
< [3] "Component 3: Mean relative difference: 1.4548"
< [4] "Component 4: Mean relative difference: 0.001374679"
< [5] "Component 5: Mean relative difference: 0.3333333"
< [6] "Component 6: 1 string mismatch"
< [7] "Component 7: Modes: list, NULL"
< [8] "Component 7: names for target but not for current"
< [9] "Component 7: Length mismatch: comparison on first 0 components"
< [10] "Component 9: Mean relative difference: 0.2758621"
---
> [1] "Component 1: Mean relative difference: 1.585932e-07"
> [2] "Component 2: Mean relative difference: 0.0009942645"
> [3] "Component 3: Mean relative difference: 5.267562"
> [4] "Component 4: Mean relative difference: 0.000453646"
> [5] "Component 9: Mean relative difference: 0.2352941"
1645c1642
< [1] "Mean relative difference: 0.001458855"
---
> [1] "Mean relative difference: 0.0006692936"
1658c1655
< [1] "Component 5: target is NULL, current is list"
---
> [1] TRUE
1665c1662
< [1] -1.421085e-14
---
> [1] 0
1668c1665
< 1.665335e-16 -2.498002e-16 -2.220446e-16 -1.665335e-16 2.498002e-16
---
> 0 0 0 0 0
1676c1673
< 4.163336e-17 -2.775558e-17 2.775558e-16 1.665335e-16 -1.942890e-16
---
> 0 0 0 0 0
1679c1676
< [1] 9.704139e-05
---
> [1] 1.160884e-05
1681c1678
< [1] -9.704139e-05
---
> [1] -1.160884e-05
1691c1688
< -8.881784e-16 3.552714e-15 0.000000e+00 4.440892e-16 1.776357e-15
---
> 0 0 0 0 0
1705c1702
< -0.222007 1.640342 2.107235 -0.167561 -0.001061
---
> -0.223438 1.640494 2.109440 -0.167351 -0.001139
1710,1714c1707,1709
< BFGSR maximization, 87 iterations
< Return code 3: Last step could not find a value above the current.
< Boundary of parameter space?
< Consider switching to a more robust optimisation method temporarily.
< Log-Likelihood: -71.19258
---
> BFGSR maximization, 91 iterations
> Return code 2: successive function values within tolerance limit
> Log-Likelihood: -71.19256
1718,1722c1713,1717
< (Intercept) -0.2220069 0.4724536 -0.4699 0.638425
< x1 1.6403420 0.2110440 7.7725 7.694e-15 ***
< x2 2.1072353 0.6848610 3.0769 0.002092 **
< logSigmaMu -0.1675606 0.2715850 -0.6170 0.537253
< logSigmaNu -0.0010611 0.1322852 -0.0080 0.993600
---
> (Intercept) -0.2234379 0.4725748 -0.4728 0.63635
> x1 1.6404941 0.2110522 7.7729 7.669e-15 ***
> x2 2.1094395 0.6848755 3.0800 0.00207 **
> logSigmaMu -0.1673511 0.2714906 -0.6164 0.53762
> logSigmaNu -0.0011386 0.1322729 -0.0086 0.99313
1737,1741c1732,1736
< (Intercept) -0.222007 0.472454 -0.470 0.63843
< x1 1.640342 0.211044 7.773 7.69e-15 ***
< x2 2.107235 0.684861 3.077 0.00209 **
< logSigmaMu -0.167561 0.271585 -0.617 0.53725
< logSigmaNu -0.001061 0.132285 -0.008 0.99360
---
> (Intercept) -0.223438 0.472575 -0.473 0.63635
> x1 1.640494 0.211052 7.773 7.67e-15 ***
> x2 2.109440 0.684875 3.080 0.00207 **
> logSigmaMu -0.167351 0.271491 -0.616 0.53762
> logSigmaNu -0.001139 0.132273 -0.009 0.99313
1745,1749c1740,1742
< BFGSR maximization, 87 iterations
< Return code 3: Last step could not find a value above the current.
< Boundary of parameter space?
< Consider switching to a more robust optimisation method temporarily.
< Log-likelihood: -71.19258 on 5 Df
---
> BFGSR maximization, 91 iterations
> Return code 2: successive function values within tolerance limit
> Log-likelihood: -71.19256 on 5 Df
1752c1745
< 'log Lik.' -71.19258 (df=5)
---
> 'log Lik.' -71.19256 (df=5)
1754c1747
< [1] -36.0000 152.3852
---
> [1] -36.0000 152.3851
1757c1750
< [1] -71.19258
---
> [1] -71.19256
1761c1754
< -0.2220069 1.6403420 2.1072353 -0.1675606 -0.0010611
---
> -0.223437886 1.640494086 2.109439512 -0.167351143 -0.001138553
1765c1758
< -0.0047635351 0.0017945883 0.0076507702 -0.0003731078 -0.0051540811
---
> -0.0023645994 0.0002134735 0.0043525355 -0.0012274752 -0.0003310896
1769,1773c1762,1766
< (Intercept) -13.794672 -4.346466 -7.5299045 -1.1053779 -1.945793
< x1 -4.346466 -25.811844 -2.0579362 4.6500468 4.050746
< x2 -7.529905 -2.057936 -6.2664233 -0.1414868 -1.066910
< logSigmaMu -1.105378 4.650047 -0.1414868 -14.9192899 -3.776939
< logSigmaNu -1.945793 4.050746 -1.0669096 -3.7769385 -58.825454
---
> (Intercept) -13.788369 -4.345893 -7.5273217 -1.1108512 -1.941872
> x1 -4.345893 -25.811539 -2.0571716 4.6503075 4.052490
> x2 -7.527322 -2.057172 -6.2654750 -0.1435365 -1.057070
> logSigmaMu -1.110851 4.650307 -0.1435365 -14.9303962 -3.772496
> logSigmaNu -1.941872 4.052490 -1.0570698 -3.7724962 -58.832591
1776c1769
< [1] 3
---
> [1] 2
1779c1772
< [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily."
---
> [1] "successive function values within tolerance limit"
1782,1784c1775
< $last.step$theta0
< (Intercept) x1 x2 logSigmaMu logSigmaNu
< -0.222129627 1.640407714 2.107414031 -0.167603866 -0.001455852
---
> NULL
1786,1809d1776
< $last.step$f0
< [1] -71.19258
< attr(,"gradient")
< [,1] [,2] [,3] [,4] [,5]
< [1,] -0.50887593 0.089233799 0.10376203 -0.39408880 -0.52985001
< [2,] -1.81757220 0.067104454 -1.24756253 1.79896972 -0.96148917
< [3,] 1.78555309 0.484593719 1.77088029 1.73487909 1.89872870
< [4,] 0.15177995 -0.162703710 -0.39629157 -0.73700391 -1.58537074
< [5,] 0.08175032 1.039298910 0.69865092 -0.67816508 -0.44482204
< [6,] 0.33253724 -0.232867214 0.37400336 -0.53960535 -1.57237446
< [7,] -0.18078162 -3.031676319 -0.24873279 -0.62227681 5.48540385
< [8,] 0.01869800 -0.004075696 0.01069405 -0.41778548 -0.58161551
< [9,] 1.11626356 0.666854117 0.29583667 0.06350747 -1.68531947
< [10,] -0.53817488 -0.420831467 -0.20437180 -0.40624321 -1.97378467
< [11,] -0.08306815 1.379189583 -0.64787733 -0.82336439 2.49816253
< [12,] 1.25925879 0.531871566 0.66985414 0.23092565 -1.79316355
< [13,] 0.44684028 -0.163622144 0.28652289 -0.46813206 -1.44983534
< [14,] -1.89340961 -1.287326620 -0.96233937 1.98424514 2.68428207
< [15,] -0.17468473 1.043419552 -0.49528208 -0.72368124 0.02960134
<
< $last.step$climb
< [1] -2108775.0 1128773.7 3069883.7 -744003.1 -6781798.8
<
<
1815c1782
< [1] 87
---
> [1] 91
1822,1836c1789,1803
< [1,] -0.50865833 0.089162028 0.10363978 -0.39411500 -0.53049177
< [2,] -1.81726518 0.067164175 -1.24724354 1.79833858 -0.96133948
< [3,] 1.78481663 0.485304851 1.77000629 1.73322629 1.89660159
< [4,] 0.15201140 -0.162542275 -0.39572446 -0.73683806 -1.58696615
< [5,] 0.08160193 1.039100506 0.69819604 -0.67802176 -0.44571596
< [6,] 0.33268362 -0.232292398 0.37393492 -0.53966926 -1.57361745
< [7,] -0.18090290 -3.028946869 -0.24857612 -0.62204005 5.47896097
< [8,] 0.01866844 -0.004069252 0.01067714 -0.41761387 -0.58178872
< [9,] 1.11577492 0.666654186 0.29571016 0.06327581 -1.68585524
< [10,] -0.53809217 -0.420329280 -0.20436020 -0.40633748 -1.97438704
< [11,] -0.08327071 1.378208699 -0.64757158 -0.82294987 2.49428799
< [12,] 1.25913730 0.531638337 0.66988337 0.23102754 -1.79411468
< [13,] 0.44658555 -0.163312929 0.28636262 -0.46840161 -1.45053271
< [14,] -1.89288467 -1.286552700 -0.96215110 1.98313395 2.68203671
< [15,] -0.17496938 1.042607510 -0.49513255 -0.72338832 0.02776786
---
> [1,] -0.50851468 0.088549089 0.10332418 -0.39424112 -0.5321531
> [2,] -1.81705349 0.066630144 -1.24744468 1.79880183 -0.9613088
> [3,] 1.78438158 0.484622552 1.76921902 1.73324126 1.8938711
> [4,] 0.15178686 -0.162863846 -0.39633296 -0.73697159 -1.5844197
> [5,] 0.08174549 1.038619943 0.69766179 -0.67810229 -0.4478988
> [6,] 0.33238733 -0.231741427 0.37360317 -0.53970858 -1.5740604
> [7,] -0.18005740 -3.029939879 -0.24845697 -0.62247948 5.4823898
> [8,] 0.01878553 -0.004094775 0.01074411 -0.41775131 -0.5816437
> [9,] 1.11613611 0.666458518 0.29576147 0.06379078 -1.6850635
> [10,] -0.53761405 -0.420066528 -0.20419807 -0.40660173 -1.9743628
> [11,] -0.08280126 1.379236916 -0.64772340 -0.82356321 2.4973552
> [12,] 1.25885598 0.532122184 0.66915527 0.23058826 -1.7934726
> [13,] 0.44678737 -0.163413157 0.28637417 -0.46810019 -1.4504984
> [14,] -1.89274932 -1.287262705 -0.96222366 1.98378247 2.6810702
> [15,] -0.17444065 1.043356443 -0.49511091 -0.72391258 0.0298645
Running ‘censRegTest.R’ [193s/193s]
Comparing ‘censRegTest.Rout’ to ‘censRegTest.Rout.save’ ...8c8
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
32c32
< -8.248957e-14 -9.015011e-13 -4.780620e-13 -3.264611e-13 -2.176870e-13
---
> -3.607684e-12 -1.108292e-10 -2.501133e-11 -1.195816e-11 -1.449160e-11
34c34
< -3.547718e-13 1.980638e-13
---
> -1.542333e-11 -3.534235e-12
1443,1458c1443,1458
< (Intercept) age yearsmarried religiousness
< (Intercept) 7.515525655 -0.1196798811 0.089357180 -3.970038e-01
< age -0.119679881 0.0062557410 -0.008052617 5.380028e-04
< yearsmarried 0.089357180 -0.0080526166 0.018095076 -1.006372e-02
< religiousness -0.397003831 0.0005380028 -0.010063724 1.630153e-01
< occupation -0.176564418 -0.0039320108 0.003581750 5.214885e-03
< rating -0.616442479 0.0011114996 0.004771645 -2.570937e-05
< logSigma 0.006968091 -0.0005561255 0.001594861 -4.944751e-03
< occupation rating logSigma
< (Intercept) -0.176564418 -6.164425e-01 0.0069680914
< age -0.003932011 1.111500e-03 -0.0005561255
< yearsmarried 0.003581750 4.771645e-03 0.0015948607
< religiousness 0.005214885 -2.570937e-05 -0.0049447512
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---
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---
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---
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---
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---
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---
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2252c2252
< [1] "Mean relative difference: 0.1998502"
---
> [1] "Mean relative difference: 0.19985"
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---
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---
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---
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---
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---
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12918c12918
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---
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---
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---
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---
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---
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---
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14348,14354c14348,14354
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< sigma -0.05746640 0.0045864114 -0.013152944 4.077976e-02 -0.007361278
---
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> age -0.11967985 0.0062557406 -0.008052616 5.380018e-04 -0.003932012
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> rating -0.61644229 0.0011114966 0.004771647 -2.571297e-05 -0.006192755
> sigma -0.05746639 0.0045864114 -0.013152944 4.077976e-02 -0.007361278
14356,14361c14356,14361
< (Intercept) -6.164424e-01 -0.057466403
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< religiousness -2.571126e-05 0.040779761
< occupation -6.192751e-03 -0.007361278
< rating 1.663236e-01 0.056722687
---
> (Intercept) -6.164423e-01 -0.057466393
> age 1.111497e-03 0.004586411
> yearsmarried 4.771647e-03 -0.013152944
> religiousness -2.571297e-05 0.040779761
> occupation -6.192755e-03 -0.007361278
> rating 1.663236e-01 0.056722685
14387c14387
< -6.987303e-09 -2.067767e-07 -4.086312e-08 -2.354504e-08 -2.767671e-08
---
> -5.187493e-09 -1.609964e-07 -3.529873e-08 -1.711167e-08 -2.109355e-08
14389c14389
< -3.123644e-08 -2.289268e-08
---
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14394c14394
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---
> age -167.483388 -5950.0587 -1677.25583 -509.98838 -724.93122
14425c14425
< [1] 8
---
> [1] 7
14434c14434
< [3,] -0.101279271 -3.2409367 -1.519189061 -0.101279271 -0.10127927
---
> [3,] -0.101279271 -3.2409367 -1.519189060 -0.101279271 -0.10127927
14438c14438
< [7,] -0.054986195 -1.2096963 -0.041239646 -0.109972391 -0.05498620
---
> [7,] -0.054986195 -1.2096963 -0.041239646 -0.109972390 -0.05498620
14441c14441
< [10,] -0.019355432 -0.4258195 -0.029033148 -0.077421727 -0.07742173
---
> [10,] -0.019355432 -0.4258195 -0.029033147 -0.077421727 -0.07742173
14447c14447
< [16,] -0.083798276 -3.1005362 -1.256974147 -0.083798276 -0.41899138
---
> [16,] -0.083798276 -3.1005362 -1.256974146 -0.083798276 -0.41899138
14449c14449
< [18,] -0.037874447 -0.8332378 -0.028405835 -0.113623342 -0.18937224
---
> [18,] -0.037874447 -0.8332378 -0.028405835 -0.113623341 -0.18937224
14472c14472
< [41,] -0.027140371 -0.8684919 -0.271403713 -0.135701856 -0.16284223
---
> [41,] -0.027140371 -0.8684919 -0.271403712 -0.135701856 -0.16284223
14479c14479
< [48,] -0.081054317 -3.4042813 -1.215814762 -0.162108635 -0.40527159
---
> [48,] -0.081054317 -3.4042813 -1.215814761 -0.162108635 -0.40527159
14484c14484
< [53,] -0.017394523 -0.4696521 -0.069578093 -0.086972616 -0.10436714
---
> [53,] -0.017394523 -0.4696521 -0.069578092 -0.086972616 -0.10436714
14487c14487
< [56,] -0.117286338 -4.3395945 -1.759295064 -0.469145350 -0.35185901
---
> [56,] -0.117286338 -4.3395945 -1.759295063 -0.469145350 -0.35185901
14492,14493c14492,14493
< [61,] -0.074990689 -3.5245624 -1.124860342 -0.374953447 -0.52493483
< [62,] -0.055417694 -2.0504547 -0.554176939 -0.166253082 -0.33250616
---
> [61,] -0.074990689 -3.5245624 -1.124860341 -0.374953447 -0.52493483
> [62,] -0.055417694 -2.0504547 -0.554176938 -0.166253082 -0.33250616
14495c14495
< [64,] -0.037436298 -1.0107801 -0.149745193 -0.074872597 -0.14974519
---
> [64,] -0.037436298 -1.0107801 -0.149745193 -0.074872596 -0.14974519
14498c14498
< [67,] -0.043989340 -1.6276056 -0.439893401 -0.175957360 -0.26393604
---
> [67,] -0.043989340 -1.6276056 -0.439893400 -0.175957360 -0.26393604
14505,14506c14505,14506
< [74,] -0.061844140 -2.9066746 -0.927662107 -0.247376562 -0.24737656
< [75,] -0.092245218 -2.9518470 -1.383678267 -0.092245218 -0.46122609
---
> [74,] -0.061844140 -2.9066746 -0.927662106 -0.247376562 -0.24737656
> [75,] -0.092245218 -2.9518470 -1.383678266 -0.092245218 -0.46122609
14516c14516
< [85,] -0.015839482 -0.3484686 -0.023759223 -0.063357929 -0.01583948
---
> [85,] -0.015839482 -0.3484686 -0.023759223 -0.063357928 -0.01583948
14536c14536
< [105,] -0.063593986 -2.3529775 -0.953909784 -0.254375943 -0.38156391
---
> [105,] -0.063593986 -2.3529775 -0.953909784 -0.254375942 -0.38156391
14540c14540
< [109,] -0.107382333 -3.4362347 -1.610734999 -0.322147000 -0.64429400
---
> [109,] -0.107382333 -3.4362347 -1.610734998 -0.322147000 -0.64429400
14554c14554
< [123,] -0.071926555 -3.0209153 -1.078898327 -0.287706220 -0.35963278
---
> [123,] -0.071926555 -3.0209153 -1.078898326 -0.287706220 -0.35963278
14558c14558
< [127,] -0.030805072 -0.6777116 -0.003850634 -0.061610144 -0.12322029
---
> [127,] -0.030805072 -0.6777116 -0.003850634 -0.061610143 -0.12322029
14569c14569
< [138,] -0.077353039 -2.8620625 -1.160295590 -0.154706079 -0.07735304
---
> [138,] -0.077353039 -2.8620625 -1.160295589 -0.154706079 -0.07735304
14574c14574
< [143,] -0.046989277 -1.2687105 -0.328924936 -0.234946383 -0.23494638
---
> [143,] -0.046989276 -1.2687105 -0.328924935 -0.234946382 -0.23494638
14580c14580
< [149,] -0.038342177 -2.1855041 -0.575132648 -0.153368706 -0.23005306
---
> [149,] -0.038342176 -2.1855041 -0.575132647 -0.153368706 -0.23005306
14585c14585
< [154,] -0.082770615 -3.0625127 -1.241559219 -0.331082458 -0.49662369
---
> [154,] -0.082770615 -3.0625127 -1.241559218 -0.331082458 -0.49662369
14589c14589
< [158,] -0.088273041 -3.2661025 -1.324095619 -0.353092165 -0.08827304
---
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14593c14593
< [162,] -0.039409636 -1.0640602 -0.157638542 -0.078819271 -0.19704818
---
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14619c14619
< [188,] -0.039409636 -1.0640602 -0.157638542 -0.078819271 -0.19704818
---
> [188,] -0.039409635 -1.0640602 -0.157638542 -0.078819271 -0.19704818
14621c14621
< [190,] -0.092245218 -2.9518470 -1.383678267 -0.092245218 -0.46122609
---
> [190,] -0.092245218 -2.9518470 -1.383678266 -0.092245218 -0.46122609
14632c14632
< [201,] -0.011588811 -0.3708419 -0.046355244 -0.057944055 -0.03476643
---
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14638c14638
< [207,] -0.088273041 -3.2661025 -1.324095619 -0.353092165 -0.08827304
---
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14645,14646c14645,14646
< [214,] -0.029595944 -0.7990905 -0.022196958 -0.059191889 -0.14797972
< [215,] -0.037436298 -1.0107801 -0.149745193 -0.074872597 -0.14974519
---
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> [215,] -0.037436298 -1.0107801 -0.149745193 -0.074872596 -0.14974519
14649c14649
< [218,] -0.053453634 -1.1759799 -0.213814535 -0.213814535 -0.26726817
---
> [218,] -0.053453634 -1.1759799 -0.213814534 -0.213814534 -0.26726817
14657c14657
< [226,] -0.064203729 -1.4124820 -0.449426100 -0.064203729 -0.19261119
---
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14670,14671c14670,14671
< [239,] -0.043812145 -1.4019887 -0.438121455 -0.131436436 -0.21906073
< [240,] -0.058450599 -2.1626722 -0.876758986 -0.233802396 -0.23380240
---
> [239,] -0.043812145 -1.4019887 -0.438121454 -0.131436436 -0.21906073
> [240,] -0.058450599 -2.1626722 -0.876758985 -0.233802396 -0.23380240
14674c14674
< [243,] -0.092245218 -2.9518470 -1.383678267 -0.092245218 -0.46122609
---
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14679c14679
< [248,] -0.035285780 -1.4820027 -0.529286696 -0.141143119 -0.10585734
---
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14683c14683
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---
> [252,] -0.061032273 -3.4788396 -0.915484100 -0.122064547 -0.36619364
14688c14688
< [257,] -0.029546767 -0.6500289 -0.044320150 -0.059093534 -0.02954677
---
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14690c14690
< [259,] -0.030953791 -1.7643661 -0.464306863 -0.123815164 -0.06190758
---
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14699c14699
< [268,] -0.055215528 -1.7668969 -0.552155285 -0.110431057 -0.27607764
---
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14712c14712
< [281,] -0.063593986 -2.3529775 -0.953909784 -0.254375943 -0.38156391
---
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14729c14729
< [298,] -0.039409636 -1.0640602 -0.157638542 -0.078819271 -0.19704818
---
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14732c14732
< [301,] -0.105361870 -2.8447705 -0.737533088 -0.210723740 -0.42144748
---
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14737c14737
< [306,] -0.054156673 -0.9477418 -0.040617505 -0.108313345 -0.27078336
---
> [306,] -0.054156673 -0.9477418 -0.040617504 -0.108313345 -0.27078336
14744c14744
< [313,] -0.027128357 -1.2750328 -0.406925361 -0.135641787 -0.16277014
---
> [313,] -0.027128357 -1.2750328 -0.406925360 -0.135641787 -0.16277014
14749c14749
< [318,] -0.071048664 -3.6945305 -1.065729964 -0.142097328 -0.49734065
---
> [318,] -0.071048664 -3.6945305 -1.065729963 -0.142097328 -0.49734065
14755c14755
< [324,] -0.042173483 -1.3495514 -0.632602240 -0.168693931 -0.04217348
---
> [324,] -0.042173483 -1.3495514 -0.632602239 -0.168693931 -0.04217348
14757,14758c14757,14758
< [326,] -0.046242107 -1.4797474 -0.184968427 -0.046242107 -0.27745264
< [327,] -0.077394198 -2.8635853 -1.160912974 -0.232182595 -0.46436519
---
> [326,] -0.046242107 -1.4797474 -0.184968426 -0.046242107 -0.27745264
> [327,] -0.077394198 -2.8635853 -1.160912973 -0.232182595 -0.46436519
14764c14764
< [333,] -0.047787707 -2.2460222 -0.716815603 -0.191150827 -0.23893853
---
> [333,] -0.047787707 -2.2460222 -0.716815602 -0.191150827 -0.23893853
14767c14767
< [336,] -0.097757804 -3.6170388 -1.466367064 -0.391031217 -0.39103122
---
> [336,] -0.097757804 -3.6170388 -1.466367063 -0.391031217 -0.39103122
14782c14782
< [351,] -0.031704258 -0.8560150 -0.047556387 -0.063408516 -0.15852129
---
> [351,] -0.031704258 -0.8560150 -0.047556387 -0.063408515 -0.15852129
14790c14790
< [359,] -0.030569290 -0.6725244 -0.022926967 -0.122277159 -0.18341574
---
> [359,] -0.030569290 -0.6725244 -0.022926967 -0.122277158 -0.18341574
14817c14817
< [386,] -0.019355432 -0.4258195 -0.029033148 -0.077421727 -0.07742173
---
> [386,] -0.019355432 -0.4258195 -0.029033147 -0.077421727 -0.07742173
14829,14830c14829,14830
< [398,] -0.042252374 -0.9295522 -0.031689281 -0.042252374 -0.16900950
< [399,] -0.042173483 -1.3495514 -0.632602240 -0.168693931 -0.04217348
---
> [398,] -0.042252374 -0.9295522 -0.031689280 -0.042252374 -0.16900950
> [399,] -0.042173483 -1.3495514 -0.632602239 -0.168693931 -0.04217348
14836c14836
< [405,] -0.081751659 -4.6598446 -1.226274888 -0.327006637 -0.24525498
---
> [405,] -0.081751659 -4.6598446 -1.226274887 -0.327006637 -0.24525498
14839c14839
< [408,] -0.035776341 -1.6814880 -0.536645113 -0.143105364 -0.21465805
---
> [408,] -0.035776341 -1.6814880 -0.536645113 -0.143105363 -0.21465805
14851c14851
< [420,] -0.048110158 -0.8419278 -0.481101584 -0.192440634 -0.19244063
---
> [420,] -0.048110158 -0.8419278 -0.481101584 -0.192440633 -0.19244063
14862c14862
< [431,] -0.091685137 -2.9339244 -1.375277060 -0.183370275 -0.27505541
---
> [431,] -0.091685137 -2.9339244 -1.375277059 -0.183370275 -0.27505541
14870,14871c14870,14871
< [439,] -0.053901679 -1.4553453 -0.377311751 -0.215606715 -0.16170504
< [440,] -0.112124869 -3.0273715 -0.784874086 -0.224249739 -0.67274922
---
> [439,] -0.053901679 -1.4553453 -0.377311750 -0.215606715 -0.16170504
> [440,] -0.112124869 -3.0273715 -0.784874085 -0.224249739 -0.67274922
14879c14879
< [448,] -0.047787707 -2.2460222 -0.716815603 -0.191150827 -0.23893853
---
> [448,] -0.047787707 -2.2460222 -0.716815602 -0.191150827 -0.23893853
14885c14885
< [454,] 0.158566765 5.8669703 2.378501469 0.792833823 0.95140059
---
> [454,] 0.158566765 5.8669703 2.378501468 0.792833823 0.95140059
14893,14894c14893,14894
< [462,] 0.020100462 0.7437171 0.301506926 0.080401847 0.08040185
< [463,] 0.204595312 8.5930031 3.068929684 0.613785937 0.20459531
---
> [462,] 0.020100462 0.7437171 0.301506925 0.080401847 0.08040185
> [463,] 0.204595312 8.5930031 3.068929683 0.613785937 0.20459531
14896,14897c14896,14897
< [465,] 0.133095714 4.9245414 1.330957145 0.266191429 0.79857429
< [466,] 0.129589812 4.1468740 1.943847176 0.388769435 0.12958981
---
> [465,] 0.133095714 4.9245414 1.330957144 0.266191429 0.79857429
> [466,] 0.129589812 4.1468740 1.943847175 0.388769435 0.12958981
14906c14906
< [475,] 0.169053406 4.5644420 1.183373843 0.676213625 1.01432044
---
> [475,] 0.169053406 4.5644420 1.183373843 0.676213624 1.01432044
14908c14908
< [477,] 0.172560857 4.6591431 1.725608570 0.690243428 1.20792600
---
> [477,] 0.172560857 4.6591431 1.725608569 0.690243428 1.20792600
14917c14917
< [486,] 0.153381834 5.6751279 2.300727514 0.306763668 0.92029101
---
> [486,] 0.153381834 5.6751279 2.300727513 0.306763668 0.92029101
14921c14921
< [490,] 0.138071883 5.7990191 2.071078242 0.138071883 0.13807188
---
> [490,] 0.138071883 5.7990191 2.071078241 0.138071883 0.13807188
14930c14930
< [499,] 0.276100246 8.8352079 1.932701724 1.104400985 1.10440099
---
> [499,] 0.276100246 8.8352079 1.932701723 1.104400985 1.10440098
14933c14933
< [502,] 0.157240667 5.8179047 2.358610011 0.314481335 0.78620334
---
> [502,] 0.157240667 5.8179047 2.358610010 0.314481335 0.78620334
14936c14936
< [505,] 0.241553035 12.5607578 3.623295529 1.207765176 0.24155304
---
> [505,] 0.241553035 12.5607578 3.623295528 1.207765176 0.24155304
14948,14949c14948,14949
< [517,] 0.085351106 4.8650130 1.280266588 0.085351106 0.34140442
< [518,] 0.153747495 6.4573948 2.306212427 0.614989980 0.76873748
---
> [517,] 0.085351106 4.8650130 1.280266587 0.085351106 0.34140442
> [518,] 0.153747495 6.4573948 2.306212426 0.614989980 0.76873748
14956c14956
< [525,] 0.125208140 3.3806198 0.876456981 0.375624420 0.75124884
---
> [525,] 0.125208140 3.3806198 0.876456980 0.375624420 0.75124884
14962,14963c14962,14963
< [531,] 0.169377425 7.1138519 2.540661379 0.677509701 0.16937743
< [532,] 0.199303333 6.3777067 1.993033330 0.597909999 0.99651666
---
> [531,] 0.169377425 7.1138519 2.540661378 0.677509701 0.16937743
> [532,] 0.199303333 6.3777067 1.993033329 0.597909999 0.99651666
14968c14968
< [537,] 0.133095714 4.9245414 1.330957145 0.266191429 0.79857429
---
> [537,] 0.133095714 4.9245414 1.330957144 0.266191429 0.79857429
14970c14970
< [539,] 0.106557662 2.8770569 0.745903637 0.426230650 0.10655766
---
> [539,] 0.106557662 2.8770569 0.745903637 0.426230649 0.10655766
14973c14973
< [542,] 0.166022288 5.3127132 2.490334313 0.498066863 0.83011144
---
> [542,] 0.166022287 5.3127132 2.490334312 0.498066862 0.83011144
14980c14980
< [549,] 0.188036757 7.8975438 2.820551351 0.564110270 0.94018378
---
> [549,] 0.188036757 7.8975438 2.820551350 0.564110270 0.94018378
14982,14983c14982,14983
< [551,] 0.105850954 3.3872305 1.587764313 0.317552863 0.10585095
< [552,] 0.301176353 17.1670521 4.517645294 1.505881765 1.20470541
---
> [551,] 0.105850954 3.3872305 1.587764312 0.317552862 0.10585095
> [552,] 0.301176353 17.1670521 4.517645293 1.505881764 1.20470541
14993c14993
< [562,] 0.255278526 6.8925202 0.382917789 0.510557053 1.27639263
---
> [562,] 0.255278526 6.8925202 0.382917789 0.510557052 1.27639263
14995c14995
< [564,] 0.157240667 5.8179047 2.358610011 0.314481335 0.78620334
---
> [564,] 0.157240667 5.8179047 2.358610010 0.314481335 0.78620334
14999c14999
< [568,] 0.321392808 16.7124260 2.249749654 1.285571231 1.60696404
---
> [568,] 0.321392808 16.7124260 2.249749653 1.285571230 1.60696404
15001c15001
< [570,] 0.153381834 5.6751279 2.300727514 0.306763668 0.92029101
---
> [570,] 0.153381834 5.6751279 2.300727513 0.306763668 0.92029101
15004,15005c15004,15005
< [573,] 0.206663501 6.6132320 3.099952520 1.033317507 1.03331751
< [574,] 0.212763901 4.6808058 0.851055602 0.212763901 0.63829170
---
> [573,] 0.206663501 6.6132320 3.099952519 1.033317506 1.03331751
> [574,] 0.212763900 4.6808058 0.851055602 0.212763900 0.63829170
15008c15008
< [577,] 0.079458000 3.3372360 1.191870005 0.158916001 0.39729000
---
> [577,] 0.079458000 3.3372360 1.191870004 0.158916001 0.39729000
15014c15014
< [583,] 0.172921899 6.3981102 2.593828478 0.518765696 1.03753139
---
> [583,] 0.172921898 6.3981102 2.593828477 0.518765695 1.03753139
15017,15021c15017,15021
< [586,] 0.142154925 4.5489576 2.132323879 0.710774626 0.85292955
< [587,] 0.197571449 10.2737153 2.963571732 0.197571449 0.98785724
< [588,] 0.182234210 8.5650079 2.733513157 0.182234210 1.09340526
< [589,] 0.107683425 3.4458696 1.615251373 0.430733699 0.43073370
< [590,] 0.122421835 3.9174987 1.836327527 0.367265505 0.36726551
---
> [586,] 0.142154925 4.5489576 2.132323878 0.710774626 0.85292955
> [587,] 0.197571449 10.2737153 2.963571731 0.197571449 0.98785724
> [588,] 0.182234210 8.5650079 2.733513156 0.182234210 1.09340526
> [589,] 0.107683425 3.4458696 1.615251372 0.430733699 0.43073370
> [590,] 0.122421835 3.9174987 1.836327526 0.367265505 0.36726551
15023,15024c15023,15024
< [592,] 0.131326479 5.5157121 1.969897186 0.393979437 0.78795887
< [593,] 0.124172430 5.2152421 1.862586447 0.248344860 0.37251729
---
> [592,] 0.131326479 5.5157121 1.969897185 0.393979437 0.78795887
> [593,] 0.124172430 5.2152420 1.862586446 0.248344860 0.37251729
15065c15065
< [32,] -0.139639905 -0.264501407
---
> [32,] -0.139639904 -0.264501407
15110c15110
< [77,] -0.139639905 -0.264501407
---
> [77,] -0.139639904 -0.264501407
15112c15112
< [79,] -0.139639905 -0.264501407
---
> [79,] -0.139639904 -0.264501407
15114c15114
< [81,] -0.169413111 -0.282833850
---
> [81,] -0.169413111 -0.282833849
15119c15119
< [86,] -0.246347286 -0.263804492
---
> [86,] -0.246347285 -0.263804492
15131c15131
< [98,] -0.330361113 -0.152492944
---
> [98,] -0.330361112 -0.152492944
15138c15138
< [105,] -0.254375943 -0.256530206
---
> [105,] -0.254375942 -0.256530206
15150c15150
< [117,] -0.189096771 -0.056012332
---
> [117,] -0.189096770 -0.056012332
15158c15158
< [125,] -0.139639905 -0.264501407
---
> [125,] -0.139639904 -0.264501407
15173c15173
< [140,] -0.269041113 -0.241356506
---
> [140,] -0.269041113 -0.241356507
15176c15176
< [143,] -0.140967830 -0.293674742
---
> [143,] -0.140967829 -0.293674742
15195c15195
< [162,] -0.197048178 -0.292093932
---
> [162,] -0.197048177 -0.292093932
15221c15221
< [188,] -0.197048178 -0.292093932
---
> [188,] -0.197048177 -0.292093932
15232c15232
< [199,] -0.157192119 -0.179500314
---
> [199,] -0.157192118 -0.179500314
15234c15234
< [201,] -0.057944055 -0.159892098
---
> [201,] -0.057944054 -0.159892098
15259c15259
< [226,] -0.321018643 -0.254174785
---
> [226,] -0.321018642 -0.254174785
15265c15265
< [232,] -0.128401099 -0.255145695
---
> [232,] -0.128401098 -0.255145695
15281c15281
< [248,] -0.176428899 -0.285865385
---
> [248,] -0.176428898 -0.285865385
15286c15286
< [253,] -0.128401099 -0.255145695
---
> [253,] -0.128401098 -0.255145695
15292c15292
< [259,] -0.123815164 -0.274949687
---
> [259,] -0.123815163 -0.274949687
15314c15314
< [281,] -0.254375943 -0.256530206
---
> [281,] -0.254375942 -0.256530206
15331c15331
< [298,] -0.197048178 -0.292093932
---
> [298,] -0.197048177 -0.292093932
15334c15334
< [301,] -0.210723740 0.050784760
---
> [301,] -0.210723739 0.050784760
15358c15358
< [325,] -0.141637343 -0.266019496
---
> [325,] -0.141637343 -0.266019495
15392c15392
< [359,] -0.122277159 -0.273754323
---
> [359,] -0.122277158 -0.273754323
15460c15460
< [427,] -0.190720915 -0.290599775
---
> [427,] -0.190720914 -0.290599775
15465c15465
< [432,] -0.139639905 -0.264501407
---
> [432,] -0.139639904 -0.264501407
15483c15483
< [450,] -0.298070300 -0.204306779
---
> [450,] -0.298070299 -0.204306779
15490,15491c15490,15491
< [457,] 0.804445019 0.633224346
< [458,] 0.286669756 0.565319473
---
> [457,] 0.804445019 0.633224347
> [458,] 0.286669755 0.565319472
15503c15503
< [470,] 0.669870491 0.132491120
---
> [470,] 0.669870491 0.132491121
15506c15506
< [473,] 0.681741703 0.832790644
---
> [473,] 0.681741702 0.832790645
15514c15514
< [481,] 0.661121856 0.723598736
---
> [481,] 0.661121856 0.723598737
15516c15516
< [483,] 1.079942034 1.943431967
---
> [483,] 1.079942034 1.943431968
15518c15518
< [485,] 0.779640336 1.592733050
---
> [485,] 0.779640335 1.592733050
15520c15520
< [487,] 0.430682927 0.569012236
---
> [487,] 0.430682927 0.569012235
15527c15527
< [494,] 0.226852493 0.142155779
---
> [494,] 0.226852493 0.142155778
15531c15531
< [498,] 0.952320804 2.730646608
---
> [498,] 0.952320804 2.730646609
15535c15535
< [502,] 0.628962670 0.805919811
---
> [502,] 0.628962669 0.805919811
15541c15541
< [508,] 0.409782465 -0.337814178
---
> [508,] 0.409782464 -0.337814178
15551,15552c15551,15552
< [518,] 0.307494990 0.742913722
< [519,] 0.430682927 0.569012236
---
> [518,] 0.307494990 0.742913721
> [519,] 0.430682927 0.569012235
15557c15557
< [524,] 0.929473643 1.180355297
---
> [524,] 0.929473643 1.180355298
15564c15564
< [531,] 0.338754851 1.038077606
---
> [531,] 0.338754850 1.038077606
15568c15568
< [535,] 0.494174041 0.946655630
---
> [535,] 0.494174041 0.946655629
15583c15583
< [550,] 0.260804187 0.366310109
---
> [550,] 0.260804187 0.366310108
15585c15585
< [552,] 1.505881765 4.836155989
---
> [552,] 1.505881764 4.836155990
15597c15597
< [564,] 0.628962670 0.805919811
---
> [564,] 0.628962669 0.805919811
15599c15599
< [566,] 0.851683067 0.830666089
---
> [566,] 0.851683066 0.830666089
15605c15605
< [572,] 1.233024989 2.984638285
---
> [572,] 1.233024988 2.984638285
15607c15607
< [574,] 1.063819503 2.033126133
---
> [574,] 1.063819502 2.033126133
15629c15629
< [596,] 0.297955344 0.659655214
---
> [596,] 0.297955343 0.659655214
15632c15632
< [599,] 0.537424472 -0.271066369
---
> [599,] 0.537424471 -0.271066369
15715c15715
< age 9.178407e-05 -1.167525e-04 4.328569e-07 -5.857956e-05
---
> age 9.178407e-05 -1.167525e-04 4.328472e-07 -5.857955e-05
15717,15719c15717,15719
< religiousness 4.328569e-07 -1.248547e-04 2.331822e-03 8.492080e-05
< occupation -5.857956e-05 5.077425e-05 8.492080e-05 9.612829e-04
< rating 1.110086e-05 9.367461e-05 -1.165182e-04 -6.969375e-05
---
> religiousness 4.328472e-07 -1.248547e-04 2.331823e-03 8.492085e-05
> occupation -5.857955e-05 5.077425e-05 8.492085e-05 9.612829e-04
> rating 1.110085e-05 9.367464e-05 -1.165182e-04 -6.969367e-05
15721,15722c15721,15722
< age 1.110086e-05
< yearsmarried 9.367461e-05
---
> age 1.110085e-05
> yearsmarried 9.367464e-05
15724c15724
< occupation -6.969375e-05
---
> occupation -6.969367e-05
15742c15742
< Newton-Raphson maximisation, 8 iterations
---
> Newton-Raphson maximisation, 7 iterations
15779c15779
< Newton-Raphson maximisation, 8 iterations
---
> Newton-Raphson maximisation, 7 iterations
15804c15804
< Newton-Raphson maximisation, 8 iterations
---
> Newton-Raphson maximisation, 7 iterations
15820,15826c15820,15826
< (Intercept) 7.86160195 -0.128974372 0.122169620 -0.481363611 -0.154647890
< age -0.12897437 0.006385016 -0.008655199 0.002864666 -0.004392084
< yearsmarried 0.12216962 -0.008655199 0.019928521 -0.016722831 0.004897965
< religiousness -0.48136361 0.002864666 -0.016722831 0.180112572 0.000924185
< occupation -0.15464789 -0.004392084 0.004897965 0.000924185 0.064453926
< rating -0.74744062 0.004470862 -0.004946606 0.026298211 -0.010774123
< logSigma 0.06454422 -0.001924022 0.005695152 -0.017277786 0.003294021
---
> (Intercept) 7.86160195 -0.128974352 0.122169587 -0.4813636186 -0.1546479516
> age -0.12897435 0.006385016 -0.008655198 0.0028646644 -0.0043920839
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15828,15833c15828,15833
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---
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15837,15843c15837,15843
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---
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15845,15851c15845,15851
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---
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< (Intercept) 7.9009804 2.8038548 2.817899 4.833898e-03
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---
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15863,15869c15863,15869
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---
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15889c15889
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---
> [12,] -0.058450599 -2.1626722 -0.876758985 -0.23380240 -0.23380240
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---
> [22,] -0.112124869 -3.0273715 -0.784874085 -0.22424974 -0.67274922
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15966,15972c15966,15972
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---
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---
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15983,15989c15983,15989
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---
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15991c15991
< [1] "Mean relative difference: 0.1382151"
---
> [1] "Mean relative difference: 0.138215"
16036c16036
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---
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16038c16038
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---
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16043c16043
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---
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16053,16054c16053,16054
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---
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16060c16060
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17274,17282c17274,17282
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17284c17284
< (Intercept) 0.0059106356
---
> (Intercept) 0.0059106330
17287,17288c17287,17288
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---
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17313,17319c17313,17319
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17968,17976c17968,17976
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17978c17978
< (Intercept) 3.1385475
---
> (Intercept) 3.1385461
17985c17985
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17999,18007c17999,18007
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< religiousness2 1.581608940 1.583425486 -0.0149992555 0.0059794064
< religiousness3 2.344052014 1.676859137 0.0085145556 0.0042720309
< religiousness4 1.676859137 2.490749036 -0.0079196003 -0.0274176935
< occupation 0.008514556 -0.007919600 0.0698641070 0.0025917455
< rating 0.004272031 -0.027417693 0.0025917455 0.1682842059
< logSigma -0.002093425 -0.002985319 0.0005267436 -0.0004578616
---
> (Intercept) -1.673914507 -1.635206499 -0.2166304560 -0.7052528988
> age 0.009680116 0.020356050 -0.0047661857 0.0019907250
> yearsmarried -0.033584798 -0.057132953 0.0071748020 0.0047558306
> religiousness2 1.581608943 1.583425518 -0.0149992597 0.0059794242
> religiousness3 2.344052054 1.676859202 0.0085145596 0.0042720444
> religiousness4 1.676859202 2.490749125 -0.0079195866 -0.0274176771
> occupation 0.008514560 -0.007919587 0.0698641099 0.0025917525
> rating 0.004272044 -0.027417677 0.0025917525 0.1682841974
> logSigma -0.002093424 -0.002985318 0.0005267438 -0.0004578614
18009c18009
< (Intercept) -0.0520571869
---
> (Intercept) -0.0520571907
18011,18016c18011,18016
< yearsmarried -0.0009214506
< religiousness2 0.0007548111
< religiousness3 -0.0020934248
< religiousness4 -0.0029853193
< occupation 0.0005267436
< rating -0.0004578616
---
> yearsmarried -0.0009214505
> religiousness2 0.0007548114
> religiousness3 -0.0020934237
> religiousness4 -0.0029853183
> occupation 0.0005267438
> rating -0.0004578614
checking for unstated dependencies in vignettes ... OK
checking package vignettes in ‘inst/doc’ ... OK
checking running R code from vignettes ... [49s/49s] OK
checking re-building of vignette PDFs ... [53s/53s] OK
checking PDF version of manual ... OK
NOTE: There was 1 note.
See
‘/home/ripley/R/packages/tests32/censReg.Rcheck/00check.log’
for details.